Architectural Study of HOG Feature Extraction Processor for Real-Time Object Detection

2012 ◽  
Author(s):  
Kosuke Mizuno ◽  
Yosuke Terachi ◽  
Kenta Takagi ◽  
Shintaro Izumi ◽  
Hiroshi Kawaguchi ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Object Detection ◽  
Real Time

Real-time video object detection and classification using hybrid texture feature extraction

2018 ◽  
pp. 1-8 ◽  
Author(s):  
N. Venkatesvara Rao ◽  
D. Venkatavara Prasad ◽  
M. Sugumaran
Keyword(s):  
Feature Extraction ◽  
Object Detection ◽  
Real Time ◽  
Texture Feature ◽  
Video Object ◽  
Texture Feature Extraction

Smart teaching mode based on particle swarm image recognition and human-computer interaction deep learning

2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao
Keyword(s):  
Feature Extraction ◽  
Particle Swarm Optimization ◽  
Deep Learning ◽  
Real Time ◽  
Image Recognition ◽  
Particle Swarm ◽  
Learning Technology ◽  
Search Performance ◽  
Swarm Optimization ◽  
Teaching Mode

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.

Real-Time Object Detection and Localization for Vision-Based Robot Manipulator

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Varun Batra ◽  
Vijay Kumar
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Robot Manipulator ◽  
Detection And Localization

Efficient final output feature map processing method supporting real-time object detection and recognition

2020 ◽  
Author(s):  
Seong Bin Choi ◽  
Sang-Seol Lee ◽  
Jonghee Park ◽  
Sung-Joon Jang ◽  
Byung-Ho Choi
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Processing Method ◽  
Feature Map ◽  
Map Processing ◽  
Final Output ◽  
Detection And Recognition

Real-Time Deep Learning-Based Object Detection Framework

2020 ◽  
Author(s):  
William Tarimo ◽  
Moustafa M.Sabra ◽  
Shonan Hendre
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Real Time

Chip and System Design of Real Time Object Detection Based on LS-R-YOLO Network

2020 ◽  
Author(s):  
Chun Ju Huang ◽  
Ting-Wei Chen ◽  
Yu-Cheng Fan
Keyword(s):  
Object Detection ◽  
System Design ◽  
Real Time
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